head to head · open source
Agent-Reach vs dashi-ppt-skill
Agent-Reach has 108,014 GitHub stars, 9,640 forks, 137 open issues and last shipped 2 days ago. dashi-ppt-skill has 10,286 stars, 880 forks, 15 open issues and last shipped 2 months ago. Agent-Reach leads on adoption by 950% (108,014 vs 10,286 stars). Agent-Reach is written in Python under MIT; dashi-ppt-skill is written in JavaScript under AGPL-3.0. Agent-Reach has attracted 9% as many forks as stars, dashi-ppt-skill 9%. Agent-Reach was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai-agent, claude-code), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| Agent-Reach | dashi-ppt-skill | |
|---|---|---|
| GitHub stars | ★ 108K | ★ 10K |
| License | MIT | AGPL-3.0 |
| Written in | Python | JavaScript |
| Last push | 2026-11-01 | 2026-09-12 |
| Forks | ⑂ 9.6K | ⑂ 880 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Agent-Reach if
- You weight community size — 108K stars and counting
- You want the MIT license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick dashi-ppt-skill if
- You want the dashi-ppt-skill feature set and don't need the biggest community
- You prefer the AGPL-3.0 license terms
- Your stack matches JavaScript
- You evaluated both and dashi-ppt-skill fits your workflow better
About Agent-Reach
👁️ Agent Reach 给你的 AI Agent 一键装上互联网能力 当下最稳的接入方式，替你选好、装好、体检好——接入方式会换代，你不用操心 快速开始 · English · 日本語 · 한국어 · 支持平台 · 设计理念 ❤️赞助商 想出现在这里？ 点击折叠 BrowserAct 支持从 Amazon、LinkedIn、X、Google Maps 等复杂网站提取你需要的任意数据。你只需用自然语言描述抓取需求，Agent 就会基于真实浏览器自动探索并测试页面流程，生成可靠、可复用的数据采集 Bot，并返回结构化结果。无需手动构建爬虫，无需编写代码。BrowserAct 内置隐身浏览、验证码处理和高质量住宅代理，帮助你更稳定地完成复杂网页数据采集。新用户注册即送 1000 积分， 立即免费试用 。 在腾讯云 Lighthouse 秒级部署 OpenClaw 全能助手，可通过对话丝滑接入 Agent Reach，给你的 OpenClaw 一键装上互联网能力。 CoreClaw 网页抓取平台与现成数据采集工具，CoreClaw 提供 100+ 现成数据采集工具，支持 Amazon、TikTok、Google Maps、Instagram、Facebook、YouTube 等平台，无需代码，支持 JSON/CSV 导出，仅对成功结果计费。 免费$3测试！ 优刻得星图astraflow大模型…
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About dashi-ppt-skill
Dashi PPT Skill · 大师 PPT / 网页 PPT / 可编辑 PPTX English · 简体中文 一个真正适合职场人的 PPT Skill。把文档丢给你的 AI Agent，每一页都自带编辑控制台的 PPT Skill——不满意的地方直接在浏览器里改，改完还能一键导出成真实的、可编辑的 PPTX。 12 套视觉主题 1020 个版式页面 8576 个可调控件 12 套内置视觉主题 Skill 会展示预览让你选择主题，可以随时让 Agent 整套换掉。下面每套主题的预览，都是从它自己的版式库里挑出的 4 个正文版式（图表、分析模型、卡片、目录等），全部由这个 Skill 真实渲染，非示意图： 快速开始 一键安装/更新 ： 国内网络: 安装和更新是同一条命令,重跑即原地更新(已装依赖自动保留)。 让 AI Agent 帮你安装： 环境要求：Node.js 20+ 和 npm；导出 PPTX / PDF 需要本机装有 Chrome / Chromium / Edge。 效果 12套主题 ：覆盖多种 PPT 使用场景和风格 1020个版式 ：每套主题独立的页面结构和视觉语言，20 种页面角色（封面、目录、指标、趋势、对比、流程、风险、结尾……） 图表与分析模型 ：雷达图、瀑布图、矩形树图、漏斗、热力图、桑基图、甘特图，以及 SWOT、波特五力、PEST、商业模式画布、双钻模型等分析模型版式 自带控制台…
read the full dashi-ppt-skill overview →
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Frequently asked questions
Is Agent-Reach or dashi-ppt-skill more popular?
Agent-Reach has 108,014 GitHub stars and dashi-ppt-skill has 10,286. Agent-Reach has the larger community by that measure.
Are Agent-Reach and dashi-ppt-skill free?
Both are open source. Agent-Reach is licensed under MIT and dashi-ppt-skill under AGPL-3.0. Neither carries a licence fee.
What is the difference between Agent-Reach and dashi-ppt-skill?
Agent-Reach is written in Python and dashi-ppt-skill in JavaScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Agent-Reach or dashi-ppt-skill?
Choose Agent-Reach if you want the larger community (108,014 stars) or its MIT licence terms. Choose dashi-ppt-skill if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.